Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers

Jaeyoung Kim, Kyuheon Jung, Dongbin Na +3

For real-world language applications, detecting an out-of-distribution (OOD) sample is helpful to alert users or reject such unreliable samples. However, modern over-parameterized…